ENBIS-23 Valencia Conference

Session

CONTRIBUTED Healthcare

13 Sept 2023, 09:40

Auditorium

Conveners

CONTRIBUTED Healthcare

• András Zempléni (Eötvös Loránd University, Budapest)

147. A Time Series Based Machine Learning Strategy for Wastewater-Based Forecasting and Nowcasting of COVID-19 Dynamics

Tim Robinson (University of Wyoming), Ms Mallory Lai (University of Wyoming)

13/09/2023, 09:40

Healthcare

Monitoring COVID-19 infection cases has been a singular focus of many policy makers and communities. However, direct monitoring through testing has become more onerous for a number of reasons, such as costs, delays, and personal choices. Wastewater-based epidemiology (WBE) has emerged as a viable tool for monitoring disease prevalence and dynamics to supplement direct monitoring. In this talk,...

64. The Benefits of Classification: An Appointment Case Study

Dr Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

13/09/2023, 10:00

Healthcare

It is safe to assume that classifying patients and generating multi-type distributions of service duration, instead of using a general distribution for all patients, would yield a better appointment schedule. One way to generate multi-type distributions is by using data mining. CART, for example, will generate the best tree, from a statistical perspective, nevertheless one could argue that...

149. Changes and Trends in Mortalities in Relation to COVID-19

Miklós Arató (Eötvös Loránd University)

13/09/2023, 10:20

Biostatistics

The COVID-19 pandemic showed that our mortality models need to be reviewed to adequately model the variability between years.
Our presentation has the following objectives: (1) We determine the time series of mortality changes in the European Union, United States, United Kingdom, Australia and Japan. Based on these time series, we estimate proximity measures between each pair of countries in...